Abstract: A computer-implemented method for providing a personalized interface to a user based on whether the user is serious about making a purchase may include: obtaining customer identification data and customer input data a customer, wherein the customer input data comprises a request from the customer; determining a request status of the customer based on the customer identification data and the customer input data; obtaining customer interface activity data of the customer based on the request status; obtaining customer purchasing data of the customer based on the request status; generating a prediction model based on the customer interface activity data and the customer purchasing data; training the generated prediction model by classifying the customer based on the customer interface activity data and the customer purchasing data; obtaining user identification data and user interface activity data of a user via a user device, the user interface activity data indicating interactive activities between the user an

Abstract: The invention relates to executing an action for a cryptographic storage application by comparing a movement dataset, which may contain positional and inertial datasets, with a user profile dataset. The system may receive a first cryptographic storage application address, retrieve a first movement dataset corresponding to a first time period, retrieve a user profile dataset, compare the first movement dataset with the user profile dataset, and execute an action for the first cryptographic storage application.

Abstract: Methods and systems for estimating a vehicle status using interaction data are disclosed. An exemplary method can include obtaining, via at least one processor, information associated with a vehicle; obtaining, via the at least one processor, a set of interaction data of an individual associated with the vehicle; and accessing, via the at least one processor and on a memory, a framework indicative of an association between interaction data and vehicles status. An exemplary method may further include generating, via the at least one processor and by applying the framework to the set of interaction data and the information associated with the vehicle, an estimate of the vehicle status; generating, via the at least one processor and based on the estimate of the vehicle status, at least one evaluation for the vehicle; and outputting the at least one evaluation.

Abstract: Systems, methods, articles of manufacture, and computer program products to: train a prediction model using a machine learning process, the prediction model configured to estimate whether further application of a hyperparameter tuning technique will cause an improvement in at least one of the hyperparameters; select the hyperparameters using the tuning technique; apply the prediction model to determine if further adjustment of the hyperparameters is likely to improve the success metric; and terminate the tuning technique when: accuracy of the prediction model in predicting improvement in a hyperparameter is above a predetermined accuracy threshold, and the prediction model predicts that further application of the tuning technique will not result in an improvement to the hyperparameter; or the accuracy of the prediction model in predicting improvement in the parameter is below the predetermined accuracy threshold, and an accuracy of hyperparameter adjustment is determined to be below a predetermined adjustment

Abstract: Systems, methods and media are directed to automatically generating a recommendation. Data describing a configuration of a production infrastructure is received, the production infrastructure running the system operating in the production environment. One or more metrics data values indicative of a performance of the system operating in the production environment is retrieved. Expected performance values of the system are received. An augmented decisioning engine compares the metrics data values with the expected performance values. The augmented decisioning engine is trained to provide a recommended configuration of the production infrastructure. Based on the comparing, the augmented decisioning engine is trained to improve subsequent recommendations of configuration of the production infrastructure through a feedback process.

Abstract: Embodiments may generally be directed to systems and techniques to detect failure events in data pipelines, determine one or more remedial actions to perform, and perform the one or more remedial actions.

Abstract: Disclosed herein are system, method, and computer program product embodiments for requesting in-person assistance with a purchase during a mobile device digital interaction (e.g., augmented reality) with a physical object of interest. Display of a real-time view includes the physical object image as well as interfaces for interacting with the image of the physical object. The interfaces include requesting in-person purchase assistance based on a mobile device location proximate to the physical object of interest.

Abstract: Methods and systems are described herein for facilitating data integrity processes using measures of statistical dispersion (e.g., gini impurities) of dataset features. The described mechanism may be also be used for selection and dimensionality reduction. Dimensionality reduction may enable storing the dataset using less storage space or performing other operations on the dataset using less resources. In some embodiments, the above described mechanism may be used for supervised categorial clustering and/or categorical classification.

Abstract: Methods and systems are described herein for novel uses and/or improvements in application or service authentication for a provider of disparate applications and/or services using blockchain technology. As one example, a method and a system are described herein for a unified user device authentication mechanism across multiple lines of service using cryptographic tokens. The system may receive, as part of a login request from a user, an address associated with a cryptography-based storage application, a cryptographic signature, and an identifier associated with a cryptographic token. The system may verify that the cryptographic token is valid and that the cryptography-based storage application controls the cryptographic token to grant the user access to the application or line of service.

Abstract: A device may include a processor, a wireless transceiver in communication with the processor, and a non-transitory memory. The memory may store instructions that, when executed by the processor, cause the processor to perform processing. The processing may include receiving a command configured to be executed by an external user device. The external user device and the user device may be members of a network of trust. The processing may include detecting, by the wireless transceiver, a plurality of member devices of the network of trust in communication range of the device. The processing may include sending, by the wireless transceiver, the command to each of the plurality of member devices.

Abstract: Methods, systems, and devices for leveraging data already collected on a user in a secure and private manner, in particular to verify user credentials for third parties. The methods, systems, and devices innovate beyond traditional security and privacy platforms in computer systems by processing the data to create a useable metric for the purposes of the third parties, in which the useable metric preserves the security and privacy of the underlying data.

Abstract: Disclosed are methods and systems for generating a virtual tag for an item in a physical environment. For instance, an image of the physical environment captured by and displayed on a user interface of a computing device may be provided as input to a trained machine learning model configured to identify the item including a first subset of item attributes. The item may be identified and information associated with the item, including a second subset of item attributes, may be received from a data store using the first subset. A spatial location of the item may be identified in the image. An icon may be generated for the item and rendered by the computing device for display on the user interface in association with the spatial location of the item in the image. The icon may be indicative of at least one item attribute from the first or second subset.

Abstract: Disclosed herein are system, method, and computer program product embodiments for using a third party dynamic QR code on a personal mobile device to complete a transaction at an ATM. The customer may stage a transaction using a mobile application on a mobile device. Upon the staged transaction being authenticated and approved, a machine-readable image may be transmitted to the mobile device. When the customer visits the ATM, the machine-readable image on the mobile device may be captured by the ATM and sent to an application server from the ATM. The application server may associate the ATM with the staged transaction that is staged using the mobile application, and send instructions to the ATM to dispense cash according to the staged transaction.

Abstract: The disclosed embodiments include systems and methods for executing a point of sale deposit. In one embodiment, a system may include one or more memory devices storing software instructions, and one or more processors configured to execute the software instructions to receive deposit information related to a point of sale deposit from a mobile device, and generate a deposit token retaining at least the deposit information and deposit authorization information. The one or more processors may also be configured to transmit the deposit token to the mobile device for displaying a readable code generated based on the deposit token, receive a point of sale deposit authorization notification from the merchant device indicating at least receipt by the merchant device of the deposit token from the mobile device, and transfer funds to a financial service account based on the received deposit information and authorization notification.

Abstract: Systems and methods include registering use of a virtual certification number (VCN) at a secure entity by receiving, at an external gateway, a registration request comprising an external request code and a primary account number (PAN), wherein the external request code is unique to the secure entity, determining that the external request code is an unregistered external request code, receiving a tokenized PAN based on the PAN, receiving an account identifier by applying the tokenized PAN to a certification mechanism tool application programing interface (API), generating a certification mechanism reference identifier by encrypting a certification mechanism associated with the account identifier and the tokenized PAN, updating a database to associate the certification mechanism reference identifier with the external request code, and transmitting, via the external gateway, a registration authentication to an external entity, the registration authentication comprising the external request code.

Abstract: A server system is provided for analyzing user interaction in an environment. The server system comprises a memory storing a set of instructions and a processor configured to execute the instructions to perform operations including determine a user has interacted with an item positioned in the environment based on a communication signal received from a hub physically located in the environment indicating an item tag associated with the item is linked with a user tag associated with the user. The server system may identify, based on one or more communication signals received from the hub, at least one metric associated with the user's interaction with the item and compare the at least one metric with a set of rules associated with the type of metric. The server system may provide an indication, based on the comparison, to a display device.

Abstract: Disclosed herein are various embodiments for a sensitive data management system. An embodiment operates by receiving a web form from a transaction account of a web application associated with a first user, the form indicating a request for sensitive information of a second user. A request for an authorization to release the sensitive information to the web application. The authorization from the second user to release the sensitive information to the transaction account associated with the first user is received. The web form is populated with the sensitive information of the second user responsive to receiving the authorization from the second user to release the sensitive information, and the populated form including the sensitive information of the second user is provided to the web application.

Abstract: In some implementations, a device may obtain historical information associated with user engagement with one or more historical communications associated with a user account. The device may train a machine learning model, using the historical information, to predict at least one of preferred communication channels, preferred communication timings, or preferred communication content associated with the user account. The device may determine that a communication associated with the user account is to be transmitted. The device may obtain, from the machine learning model and by the device, recommendation information including at least one of a recommended timing, a recommended communication channel, or a recommended content of the communication based on providing information associated with the user account to the machine learning model. The device may generate the communication according to the recommendation information.

Abstract: A system is provided for generating variable haptic feedback. The system comprises a first haptic feedback device configured to generate haptic feedback according to a received output signal, an input device configured to receive instructions from a remote source, the instructions comprising a haptic feedback output identifier, and a memory device for storing a plurality of haptic feedback profiles, the haptic feedback profiles defining unique haptic feedback patterns characterized at least by a duration and intensity of feedback to be generated by the first haptic feedback device, and said haptic feedback profiles being associated with a haptic feedback output identifier. The system also includes a processor configured to generate and transmit an output signal to the first haptic feedback device according to a haptic feedback profile associated with a received haptic feedback output identifier, said output signal comprising a haptic feedback pattern defined by said haptic feedback profile.